Fanny Dao
Impact in
- Reproductive Medicine top 0.5%
- Ovarian cancer diagnosis and treatment
- Obstetrics and Gynecology top 1%
- Endometrial and Cervical Cancer Treatments
Papers in
-
- Ovarian cancer diagnosis and treatment 25
-
- Endometrial and Cervical Cancer Treatments 8
- Co-authors
- Hao LvHao LinDouglas A. LevineHui DingRobert A. SoslowHasan ZulfiqarNarciso OlveraWei Chen
- Journals
- Gynecologic Oncology (19 papers)Briefings in Bioinformatics (10 papers)BMC Biology (4 papers)International Journal of Molecular Sciences (3 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Fanny Dao
82 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 134
- Reproductive Medicine 1.1k
- Obstetrics and Gynecology 633
- Cancer Research 646
- Molecular Biology 2.3k
- Pathology and Forensic Medicine 355
Countries citing papers authored by Fanny Dao
This map shows the geographic impact of Fanny Dao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fanny Dao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanny Dao more than expected).
Fields of papers citing papers by Fanny Dao
This network shows the impact of papers produced by Fanny Dao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fanny Dao. The network helps show where Fanny Dao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fanny Dao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2022 | 27 | |
| 7 | 2022 | 26 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 51 | |
| 10 | 2021 | 68 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 47 | |
| 13 | 2020 | 61 | |
| 14 | 2020 | 99 | |
| 15 | 2019 | 61 | |
| 16 | 2015 | 50 | |
| 17 | 2014 | 266 | |
| 18 | 2013 | 82 | |
| 19 | 2012 | 156 | |
| 20 | 2009 | 152 |
About Fanny Dao
Fanny Dao is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Cancer Research, Molecular Biology and Aging, having authored 85 papers that have together received 3.9k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (29 papers), Ovarian cancer diagnosis and treatment (25 papers), Genomics and Phylogenetic Studies (17 papers), RNA and protein synthesis mechanisms (13 papers), Endometrial and Cervical Cancer Treatments (8 papers), Cancer Genomics and Diagnostics (6 papers), Single-cell and spatial transcriptomics (5 papers) and vaccines and immunoinformatics approaches (5 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Obstetrics and Gynecology (633 citations), Cancer Research (646 citations), Molecular Biology (2.3k citations) and Pathology and Forensic Medicine (355 citations). Fanny Dao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Hao Lv, Hao Lin, Douglas A. Levine, Hui Ding, Robert A. Soslow, Hasan Zulfiqar, Narciso Olvera, Wei Chen, Hui Yang and Richard R. Barakat. Their work appears in journals such as Gynecologic Oncology, Briefings in Bioinformatics, BMC Biology, International Journal of Molecular Sciences and Journal of Clinical Oncology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.